JuliaDecisionFocusedLearning / InferOpt.jl

Combinatorial optimization layers for machine learning pipelines
https://juliadecisionfocusedlearning.github.io/InferOpt.jl/
MIT License
114 stars 4 forks source link

Remove all <:Real type constraints #71

Closed gdalle closed 1 year ago

codecov-commenter commented 1 year ago

Codecov Report

Patch coverage: 100.00% and project coverage change: +0.86 :tada:

Comparison is base (2036cf1) 79.71% compared to head (87b5e64) 80.57%.

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Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #71 +/- ## ========================================== + Coverage 79.71% 80.57% +0.86% ========================================== Files 19 19 Lines 345 345 ========================================== + Hits 275 278 +3 + Misses 70 67 -3 ``` | [Impacted Files](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None) | Coverage Δ | | |---|---|---| | [src/fenchel\_young/perturbed.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL2ZlbmNoZWxfeW91bmcvcGVydHVyYmVkLmps) | `87.50% <ø> (ø)` | | | [src/perturbed/additive.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3BlcnR1cmJlZC9hZGRpdGl2ZS5qbA==) | `86.36% <ø> (ø)` | | | [src/perturbed/multiplicative.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3BlcnR1cmJlZC9tdWx0aXBsaWNhdGl2ZS5qbA==) | `86.36% <ø> (ø)` | | | [src/ssvm/ssvm\_loss.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3Nzdm0vc3N2bV9sb3NzLmps) | `84.21% <ø> (ø)` | | | [ext/InferOptFrankWolfeExt.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-ZXh0L0luZmVyT3B0RnJhbmtXb2xmZUV4dC5qbA==) | `100.00% <100.00%> (ø)` | | | [src/fenchel\_young/fenchel\_young.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL2ZlbmNoZWxfeW91bmcvZmVuY2hlbF95b3VuZy5qbA==) | `88.00% <100.00%> (ø)` | | | [src/imitation\_loss/imitation\_loss.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL2ltaXRhdGlvbl9sb3NzL2ltaXRhdGlvbl9sb3NzLmps) | `86.36% <100.00%> (ø)` | | | [src/interpolation/interpolation.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL2ludGVycG9sYXRpb24vaW50ZXJwb2xhdGlvbi5qbA==) | `80.00% <100.00%> (ø)` | | | [src/perturbed/abstract\_perturbed.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3BlcnR1cmJlZC9hYnN0cmFjdF9wZXJ0dXJiZWQuamw=) | `90.00% <100.00%> (ø)` | | | [src/plus\_identity/plus\_identity.jl](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None#diff-c3JjL3BsdXNfaWRlbnRpdHkvcGx1c19pZGVudGl0eS5qbA==) | `77.77% <100.00%> (ø)` | | | ... and [7 more](https://app.codecov.io/gh/axelparmentier/InferOpt.jl/pull/71?src=pr&el=tree-more&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=None) | |

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